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Can you describe the purpose and interpretation of an ROC curve in model evaluation? How would you contrast bagging with boosting in ensemble learning?

Could you enumerate some optimization algorithms that you know? What techniques would you employ to handle an optimization problem with a large number of variables? How does the simplex algorithm operate in solving optimization tasks?

Could you create a function that executes manipulations within a pandas dataframe?

Could you create a function that receives two arrays and calculates the RMSE?

Could you design an algorithm to locate the longest palindrome in a specified string?

What's your approach to predicting a brand's success in terms of sales?

What hurdles do you encounter while training deeply layered neural networks?

What considerations would you take into account when coming up with an architecture for Bing's image search functionality?

What is the ROC curve and how is AUC related to it?

In the operational sequence of a neural network, is the vanishing gradient issue more common at the beginning or the end?